Marzetti (MZTI) Selling, General & Administrative (2009 - 2026)
Marzetti's Selling, General & Administrative came in at $74.34 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 19.8% from $62.08 million a year earlier and up 21.0% from the prior quarter.
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Analysis
Marzetti (MZTI) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Marzetti's Selling, General & Administrative was $254.6 million, up 10.6% from FY2025.
- Selling, General & Administrative carries a five-year compound annual growth rate of 4.4% (FY2021 to FY2026).
- Going back by fiscal year, Selling, General & Administrative was $230.23 million in FY2025 (+5.6%), $218.07 million in FY2024 (-1.8%), $222.09 million in FY2023 (+4.7%) and $212.1 million in FY2022 (+3.3%).
- The fiscal Q4 2026 figure represents the highest quarterly Selling, General & Administrative in data going back to fiscal Q2 2010.
- Year-over-year, Selling, General & Administrative has increased for five consecutive quarters, with growth averaging 8.1% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in fiscal Q4 2026 (growth of 19.8%), and the weakest in fiscal Q3 2024 (a decline of 11.8%).
- Business Quant data shows MZTI's Selling, General & Administrative at $61.44 million (Q3 2026), $60.41 million (Q2 2026) and $58.42 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 2.00 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 620.55 Mn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 832.20 Mn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 410.50 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 704.40 Mn |
| 10 | Marzetti | 2.72 Bn | 2.09 Bn | 113.99 Mn | 74.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.34 Mn |
| Mar 31, 2026 | 61.44 Mn |
| Dec 31, 2025 | 60.41 Mn |
| Sep 30, 2025 | 58.42 Mn |
| Jun 30, 2025 | 62.08 Mn |
| Mar 31, 2025 | 56.09 Mn |
| Dec 31, 2024 | 57.11 Mn |
| Sep 30, 2024 | 54.96 Mn |
| Jun 30, 2024 | 53.19 Mn |
| Mar 31, 2024 | 57.21 Mn |
| Dec 31, 2023 | 55.71 Mn |
| Sep 30, 2023 | 51.95 Mn |
| Jun 30, 2023 | 56.73 Mn |
| Mar 31, 2023 | 64.83 Mn |
| Dec 31, 2022 | 50.78 Mn |
| Sep 30, 2022 | 49.76 Mn |
| Jun 30, 2022 | 54.18 Mn |
| Mar 31, 2022 | 54.53 Mn |
| Dec 31, 2021 | 51.54 Mn |
| Sep 30, 2021 | 51.86 Mn |
API Access
Marzetti Selling, General & Administrative API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=MZTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "MZTI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=MZTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();